1 citations · 1 across the 1 of their papers we have counts for
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Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation
Diego Botache, Jens Decke, Winfried Ripken +4
This paper presents a methodological framework for training, self-optimising, and self-organising surrogate models to approximate and speed up multiobjective optimisation of techni…
Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis
Diego Botache, Kristina Dingel, Rico Huhnstock +2
Splitting of sequential data, such as videos and time series, is an essential step in various data analysis tasks, including object tracking and anomaly detection. However, splitti…
Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders
Felix Möller, Diego Botache, Denis Huseljic +3
Deep neural networks often suffer from overconfidence which can be partly remedied by improved out-of-distribution detection. For this purpose, we propose a novel approach that all…